DocumentCode
249247
Title
Crime analysis and prediction using data mining
Author
Sathyadevan, Shiju ; Devan, M.S. ; Surya Gangadharan, S.
Author_Institution
Amrita Center for Cyber Security, Amrita Vishwa Vidyapeetham, Amritapuri, India
fYear
2014
fDate
19-20 Aug. 2014
Firstpage
406
Lastpage
412
Abstract
Crime analysis and prevention is a systematic approach for identifying and analyzing patterns and trends in crime. Our system can predict regions which have high probability for crime occurrence and can visualize crime prone areas. With the increasing advent of computerized systems, crime data analysts can help the Law enforcement officers to speed up the process of solving crimes. Using the concept of data mining we can extract previously unknown, useful information from an unstructured data. Here we have an approach between computer science and criminal justice to develop a data mining procedure that can help solve crimes faster. Instead of focusing on causes of crime occurrence like criminal background of offender, political enmity etc we are focusing mainly on crime factors of each day.
Keywords
Bayes methods; data analysis; data mining; police data processing; computerized system; crime data analysis; crime prevention; data mining; law enforcement officers; unstructured data; Artificial neural networks; Visualization; Apriori algorithm; Decision tree; GraphDB; Mongo DB; NER; Naive Bayes; Neo4j;
fLanguage
English
Publisher
ieee
Conference_Titel
Networks & Soft Computing (ICNSC), 2014 First International Conference on
Conference_Location
Guntur
Print_ISBN
978-1-4799-3485-0
Type
conf
DOI
10.1109/CNSC.2014.6906719
Filename
6906719
Link To Document